This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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482
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Type:
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Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Graphics
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Abstract - #307909 |
Title:
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Mapping Batter Ability in Baseball by Using Spatial Statistics Techniques
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Author(s):
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Dana Draghicescu*+ and Benjamin Strong Baumer
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Companies:
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Hunter College, CUNY and CUNY Graduate Center
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Address:
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, , NY, 10065, USA
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Keywords:
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baseball ;
hot zone ;
kriging ;
pitch f/x data ;
kernel smoothing ;
spatial prediction
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Abstract:
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In baseball, an area in or around the strike zone in which batters are more likely to hit the ball is called a hot zone. Typically, scouting reports are based on maps displaying a player's batting average in a discretized area of the strike zone. These reports are then used by both batting and pitching coaches to devise game strategies. This paper is motivated by the Sportvision Pitch f/x data, which provides accurate continuous location coordinates for individual pitches using high-speed cameras. Extended exploratory analyses show a number of interesting and challenging spatial features that we employ in order to produce improved hot zone maps based on both parametric (kriging) and nonparametric (kernel smoothing) techniques.
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